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Linking to GEOS 3.9.1, GDAL 3.2.1, PROJ 7.2.1; sf_use_s2() is TRUE
[1] "sf"         "data.frame"

Rows: 161,025
Columns: 3
$ date               <date> 2020-02-29, 2020-03-01, 2020-03-02, 2020-03-03, 2020-03-04, 2020-03-05, 2020-03-06, 2020-03-07, 2020-03-~
$ location           <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", ~
$ new_cases_smoothed <dbl> 0.714, 0.714, 0.000, 0.000, 0.000, 0.000, 0.000, 0.429, 0.429, 0.429, 0.429, 0.857, 0.857, 0.857, 0.857, ~

$upper
'dendrogram' with 2 branches and 2 members total, at height 19342438 

$lower
$lower[[1]]
'dendrogram' with 2 branches and 200 members total, at height 5689823 

$lower[[2]]
'dendrogram' with 2 branches and 16 members total, at height 6715621 
Rows: 216
Columns: 2
$ Var1 <fct> Afghanistan, Albania, Algeria, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Au~
$ Freq <int> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1,~
Rows: 161,025
Columns: 4
$ date               <date> 2020-02-29, 2020-03-01, 2020-03-02, 2020-03-03, 2020-03-04, 2020-03-05, 2020-03-06, 2020-03-07, 2020-03-~
$ location           <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", ~
$ new_cases_smoothed <dbl> 0.714, 0.714, 0.000, 0.000, 0.000, 0.000, 0.000, 0.429, 0.429, 0.429, 0.429, 0.857, 0.857, 0.857, 0.857, ~
$ cluster            <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ~

  1   2   3   4   5 
168  14  32   1   1 
Warning: Width not defined. Set with `position_dodge(width = ?)`

`geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'
`geom_smooth()` using method = 'loess' and formula 'y ~ x'

`geom_smooth()` using method = 'loess' and formula 'y ~ x'

`geom_smooth()` using method = 'loess' and formula 'y ~ x'

`geom_smooth()` using method = 'loess' and formula 'y ~ x'

ARIMA modeling

Series: clean[, c("new_cases_smoothed")] 
ARIMA(3,1,4) 

Coefficients:
          ar1     ar2     ar3     ma1      ma2      ma3     ma4
      -0.4299  0.6920  0.5389  0.6332  -0.5678  -0.2774  0.4349
s.e.   0.0467  0.0282  0.0424  0.0478   0.0491   0.0442  0.0353

sigma^2 = 45309290:  log likelihood = -8236.15
AIC=16488.3   AICc=16488.48   BIC=16525.83
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21"
[10] "2022-04-22" "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30"
[19] "2022-05-01" "2022-05-02" "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09"
[28] "2022-05-10" "2022-05-11" "2022-05-12"

Warning: Width not defined. Set with `position_dodge(width = ?)`
Warning in max(ids, na.rm = TRUE) :
  no non-missing arguments to max; returning -Inf
Warning: Removed 7 row(s) containing missing values (geom_path).

Series: clean[, c("new_cases_smoothed")] 
ARIMA(3,1,3) 

Coefficients:
         ar1      ar2     ar3      ma1     ma2      ma3
      1.7425  -1.4068  0.6000  -1.8457  1.6693  -0.5555
s.e.  0.0513   0.0688  0.0364   0.0522  0.0704   0.0472

sigma^2 = 248194:  log likelihood = -5888.63
AIC=11791.26   AICc=11791.4   BIC=11823.8
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21" "2022-04-22"
[11] "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30" "2022-05-01" "2022-05-02"
[21] "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09" "2022-05-10" "2022-05-11" "2022-05-12"

Series: clean[, c("new_cases_smoothed")] 
ARIMA(2,1,2) 

Coefficients:
         ar1      ar2      ma1     ma2
      1.9166  -0.9274  -0.9965  0.1666
s.e.  0.0227   0.0219   0.0410  0.0377

sigma^2 = 857173:  log likelihood = -6582.95
AIC=13175.89   AICc=13175.97   BIC=13199.3
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21" "2022-04-22"
[11] "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30" "2022-05-01" "2022-05-02"
[21] "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09" "2022-05-10" "2022-05-11" "2022-05-12"

Series: clean[, c("new_cases_smoothed")] 
ARIMA(5,1,5) 

Coefficients:
          ar1     ar2     ar3      ar4      ar5     ma1      ma2      ma3     ma4     ma5
      -0.0568  1.2160  0.8464  -0.4059  -0.6316  0.0872  -1.0399  -0.6285  0.4546  0.1877
s.e.   0.0561  0.0405  0.0790   0.0363   0.0503  0.0664   0.0486   0.0854  0.0491  0.0620

sigma^2 = 11453351:  log likelihood = -7499.34
AIC=15020.67   AICc=15021.01   BIC=15072.01
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21"
[10] "2022-04-22" "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30"
[19] "2022-05-01" "2022-05-02" "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09"
[28] "2022-05-10" "2022-05-11" "2022-05-12"

Warning: Width not defined. Set with `position_dodge(width = ?)`
Warning in max(ids, na.rm = TRUE) :
  no non-missing arguments to max; returning -Inf
Warning: Removed 5 row(s) containing missing values (geom_path).

Series: clean[, c("new_cases_smoothed")] 
ARIMA(5,1,3) 

Coefficients:
         ar1     ar2      ar3      ar4     ar5      ma1      ma2     ma3
      0.2974  0.4783  -0.3763  -0.3246  0.6191  -0.5987  -0.2032  0.7162
s.e.  0.0379  0.0385   0.0358   0.0334  0.0364   0.0375   0.0504  0.0379

sigma^2 = 5895494:  log likelihood = -7369.41
AIC=14756.82   AICc=14757.05   BIC=14798.98
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21"
[10] "2022-04-22" "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30"
[19] "2022-05-01" "2022-05-02" "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09"
[28] "2022-05-10" "2022-05-11" "2022-05-12"

Warning: Width not defined. Set with `position_dodge(width = ?)`
Warning in max(ids, na.rm = TRUE) :
  no non-missing arguments to max; returning -Inf
Warning: Removed 5 row(s) containing missing values (geom_path).

Series: clean[, c("new_cases_smoothed")] 
ARIMA(1,1,1) 

Coefficients:
         ar1      ma1
      0.9563  -0.6208
s.e.  0.0116   0.0271

sigma^2 = 1454757:  log likelihood = -6776.81
AIC=13559.61   AICc=13559.64   BIC=13573.65
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21"
[10] "2022-04-22" "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30"
[19] "2022-05-01" "2022-05-02" "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09"
[28] "2022-05-10" "2022-05-11" "2022-05-12"

Series: clean[, c("new_cases_smoothed")] 
ARIMA(5,1,0) 

Coefficients:
         ar1     ar2     ar3      ar4     ar5
      0.3499  0.1438  0.2316  -0.0871  0.2446
s.e.  0.0343  0.0363  0.0358   0.0364  0.0345

sigma^2 = 5221650:  log likelihood = -7366.44
AIC=14744.88   AICc=14744.99   BIC=14773.03
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21"
[10] "2022-04-22" "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30"
[19] "2022-05-01" "2022-05-02" "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09"
[28] "2022-05-10" "2022-05-11" "2022-05-12"

Warning: Width not defined. Set with `position_dodge(width = ?)`
Warning in max(ids, na.rm = TRUE) :
  no non-missing arguments to max; returning -Inf
Warning: Removed 6 row(s) containing missing values (geom_path).

Series: clean[, c("new_cases_smoothed")] 
ARIMA(5,1,3) 

Coefficients:
         ar1      ar2     ar3      ar4     ar5      ma1     ma2      ma3
      0.2485  -0.4743  0.5743  -0.0617  0.4601  -0.1688  0.7534  -0.2649
s.e.  0.0560   0.0425  0.0477   0.0389  0.0443   0.0589  0.0317   0.0577

sigma^2 = 6749754:  log likelihood = -7468.78
AIC=14955.56   AICc=14955.79   BIC=14997.78
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21" "2022-04-22"
[11] "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30" "2022-05-01" "2022-05-02"
[21] "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09" "2022-05-10" "2022-05-11" "2022-05-12"

Series: clean[, c("new_cases_smoothed")] 
ARIMA(1,2,2) 

Coefficients:
          ar1      ma1      ma2
      -0.3025  -0.0729  -0.3153
s.e.   0.1140   0.1106   0.0455

sigma^2 = 19962:  log likelihood = -5075.33
AIC=10158.65   AICc=10158.7   BIC=10177.38
[1] "2022-04-12"
 [1] "2022-04-13" "2022-04-14" "2022-04-15" "2022-04-16" "2022-04-17" "2022-04-18" "2022-04-19" "2022-04-20" "2022-04-21" "2022-04-22"
[11] "2022-04-23" "2022-04-24" "2022-04-25" "2022-04-26" "2022-04-27" "2022-04-28" "2022-04-29" "2022-04-30" "2022-05-01" "2022-05-02"
[21] "2022-05-03" "2022-05-04" "2022-05-05" "2022-05-06" "2022-05-07" "2022-05-08" "2022-05-09" "2022-05-10" "2022-05-11" "2022-05-12"

---
title: "COVID-19 Variants Analysis"
output: html_notebook
---

```{r, include = FALSE}
knitr::opts_chunk$set(echo = FALSE, warning = FALSE)
```

```{r, echo = FALSE, message=FALSE, warning=FALSE, comment=FALSE}
library(tidyverse)
library(scales)
library(plotly)
library(DT)
library(data.table)
library(gtable)
library(plotly)
library(lubridate)
library(vtable)
library(rjson)
library(timetk)
library(Rssa)
library(RColorBrewer)
library(gghighlight)
library(tseries)
library(forecast)
library(tsibble)
#library(brotools)

`%!in%` <- Negate(`%in%`)
```

```{r, echo = FALSE, warning=FALSE}
covid <- read_csv("data/owid-covid-data.csv",show_col_types = FALSE)
#variants <- read_csv("data/covid-variants.csv",show_col_types = FALSE)

gisaid <- as.data.frame(fread("data/gisaid_variants_statistics.tsv")) %>% 
  rename(date = `Week prior to`,
         count = `Submission Count`,
         perc_sequences = `% per Country and Week`,
         total = `Total per Country and Week`,
         variant = Value) %>% 
  mutate(date = ymd(date),
         perc_sequences = round(count / total * 100, 3))# %>% 
#  separate(variant, into = c("variant", "origin"), sep = c("first detected in "))

gisaid_variants <- gisaid %>% 
  filter(Type == "Variant") %>%
  separate(variant, c("variant", "origin"), sep = "first detected in ") %>% 
  select(-Type)
```

```{r}
covid_NAs <- covid %>% 
  group_by(location) %>% 
  summarise_all(funs(sum(is.na(.)))) %>% 
  pivot_longer(cols = -location, names_to = "Variable", values_to = "NAs") %>% 
  mutate(Percent = round(NAs / nrow(covid) * 100 ,2)) %>% 
  arrange(-NAs)
```

```{r}
covid_NAs %>% 
  group_by(location) %>% 
  summarise(total_pct_na = sum(Percent)) %>% 
  arrange(total_pct_na) %>% 
  datatable(filter = 'top')
```

```{r}
#Helper function for filtering data
my_data <- function(country_covid_filter, country_gisaid_filter){
  data <- covid %>% 
    filter(location == country_covid_filter)
  gisaid_data <- gisaid_variants %>% 
    filter(Country == country_gisaid_filter)
  data <- left_join(data, gisaid_data, by = "date")
  data
}

#covid - United States
#gisaid - "USA"

us <- my_data("United States", "USA")
france <- my_data("France", "France")
germany <- my_data("Germany", "Germany")
skorea <- my_data("South Korea", "South Korea")
```

```{r "US Plots"}
variants_plot <- ggplot(data = us, aes(x = date)) +
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), position = "dodge", show.legend = FALSE) +
  theme_minimal()


cases_plot <-
  ggplot(data = us, aes(x = date)) +
  geom_line(aes(y = new_cases_per_million), show.legend = FALSE) +
  geom_line(aes(y = new_deaths_per_million)) + 
  theme_minimal()


deaths_plot <- ggplot(data = us, aes(x = date)) +
  geom_line(aes(y = new_deaths_per_million)) + 
  theme_minimal()


vaccinations_plot <- ggplot(us, aes(x = date)) +
  geom_line(aes(y = new_vaccinations_smoothed_per_million)) +
  theme_minimal()


variants_cases_plot <- ggplot(data = us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million / 40)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*40, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million")  +
  annotate(geom="label", x=ymd(20200701), y=75, label="Alpha/Other") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220201), y=75, label="Omicron")


variants_deaths_plot <- ggplot(data = us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant),show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_deaths_smoothed_per_million*5)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~./5, name = "New Deaths Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Deaths Per Million") +
  annotate(geom="label", x=ymd(20200701), y=75, label="Alpha/Other") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220201), y=75, label="Omicron")


cases_vaccinations_plot <- ggplot(data = us, aes(x = date)) +
  geom_line(aes(y = new_cases_smoothed_per_million), show.legend = FALSE) +
  geom_line(aes(y = people_vaccinated_per_hundred*50)) + 
  scale_y_continuous("New Cases Per Million", sec.axis=sec_axis(~./50, name = "People Vaccinated Per Hundred")) + 
  theme_minimal() + 
  labs(title = "New Cases Per Million vs. People Vaccinated Per Hundred")

deaths_vaccinations_plot <- ggplot(us, aes(x = date)) +
  geom_line(aes(y = new_deaths_per_million), show.legend = FALSE) +
  geom_line(aes(y = people_fully_vaccinated_per_hundred/7)) + 
  scale_y_continuous("New Deaths Per Million", sec.axis=sec_axis(~.*7, name = "People Vaccinated Per Hundred")) + 
  theme_minimal() + 
  labs(title = "New Deaths Per Million vs. People Fully Vaccinated Per Hundred")


variants_hospitalizations_plot <- ggplot(us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = weekly_hosp_admissions_per_million / 5)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*5, name = "Hospitalizations Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs Hospitalizations Per Million") +
  annotate(geom="label", x=ymd(20200701), y=75, label="Alpha/Other") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220201), y=75, label="Omicron")

variants_vaccinations_plot <- ggplot(us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = people_fully_vaccinated_per_hundred)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~., name = "People Vaccinated Per Hundred")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs People Fully Vaccinated") +
  annotate(geom="label", x=ymd(20200701), y=75, label="Alpha/Other") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220201), y=75, label="Omicron")
```

```{r}
variants_vaccinations_plot
```

```{r}
variants_cases_plot <- ggplot(data = us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million / 40)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*40, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million") +
  annotate(geom="label", x=ymd(20210501), y=50, label="Alpha") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220215), y=75, label="Omicron")

variants_cases_plot
```

```{r}
variants_hospitalizations_plot
```

```{r}
variants_deaths_plot
```

```{r}
library("sf")
library("rnaturalearth")
library("rnaturalearthdata")

world <- ne_countries(scale = "medium", returnclass = "sf")
class(world)
```

```{r}
world_variants_df <- gisaid_variants %>% 
    group_by(Country,) %>% 
    mutate(Country = case_when(
      Country == "USA" ~ "United States",
          TRUE ~ as.character(Country)
          )) %>% 
  summarise(most_recent_date = date[n()],
            prevalent_variant = variant[date == date[n()] & perc_sequences == max(perc_sequences[date == date[n()]])],
            .groups = 'drop') %>% 
  arrange(desc(most_recent_date)) %>% 
  rename(location = Country)

world_variants_df %>% 
  arrange(desc(most_recent_date))
```

```{r, warning=FALSE}
world_cases_per_mil_df <- covid %>% 
  group_by(location) %>% 
  summarise(most_recent_date = date[max(which(!is.na(new_cases_smoothed_per_million)))],
              new_cases_per_mil = new_cases_smoothed_per_million[max(which(!is.na(new_cases_smoothed_per_million)))])

world_cases_df <- covid %>% 
  group_by(location) %>% 
  summarise(most_recent_date = date[max(which(!is.na(new_cases_smoothed)))],
              new_cases = new_cases_smoothed[max(which(!is.na(new_cases_smoothed)))])
```

```{r}
world_variants_loc <- left_join(world_variants_df, covid[, c("location", "iso_code")], by = "location", all.x = TRUE, all.y = FALSE) %>% 
  rename(gu_a3 = iso_code) %>% 
  unique()

world_cases_per_mil_loc <- left_join(world_cases_per_mil_df, covid[, c("location", "iso_code")], by = "location", all.x = TRUE, all.y = FALSE) %>% 
  rename(gu_a3 = iso_code) %>% 
  unique()

world_cases_loc <- left_join(world_cases_df, covid[, c("location", "iso_code")], by = "location", all.x = TRUE, all.y = FALSE) %>% 
  rename(gu_a3 = iso_code) %>% 
  unique()

world_variants_map <- left_join(world, world_variants_loc, by = "gu_a3", all.x = TRUE)

world_cases_per_mil_map <- left_join(world, world_cases_per_mil_loc, by = "gu_a3", all.x = TRUE)

world_cases_map <- left_join(world, world_cases_loc, by = "gu_a3", all.x = TRUE)
```

```{r}
p <- ggplot(data = world_variants_map, aes(fill = prevalent_variant, text = paste0("Country: ", name, "\nLast date: ", most_recent_date))) + 
  geom_sf() + 
  xlab("") + 
  ylab("") + 
  labs(title = "Most Prevalent Covid Variant by Country") +
  theme(panel.grid.major = element_line(color = gray(.5), linetype = "dashed", size = 0.5), panel.background = element_rect(fill = "white"),                legend.position = "bottom", 
              legend.text= element_text(size = 5),
              legend.title = element_blank(),
              legend.key.size = unit(1, "line")
              ) 

p
```

```{r}

```

```{r}
p <- ggplot(data = world_cases_per_mil_map, aes(fill = new_cases_per_mil, text = paste0("Country: ", name, "\nLast date: ", most_recent_date))) + 
  geom_sf() + 
  xlab("") + 
  ylab("") +
  labs(fill = "New Cases Per Million") + 
  labs(title = "New Cases Per Million by Country") +
  theme(panel.grid.major = element_line(color = gray(.5), linetype = "dashed", size = 0.5), panel.background = element_rect(fill = "white"),                legend.position = "bottom", 
              legend.text= element_text(size = 5),
              legend.key.size = unit(1, "line")
              ) + 
  scale_fill_viridis_c(option = "F", direction = -1)

p
```

```{r}
p <- ggplot(data = world_cases_map, aes(fill = new_cases, text = paste0("Country: ", name, "\nLast date: ", most_recent_date))) + 
  geom_sf() + 
  xlab("") + 
  ylab("") +
  labs(fill = "New Cases") + 
  labs(title = "New Cases by Country") +
  theme(panel.grid.major = element_line(color = gray(.5), linetype = "dashed", size = 0.5), panel.background = element_rect(fill = "white"),                legend.position = "bottom", 
              legend.text= element_text(size = 5),
              legend.key.size = unit(1, "line")
              ) + 
  scale_fill_viridis_c(option = "F", direction = -1)

p
```

```{r}
world_cases_per_mil_df %>% 
  arrange(-new_cases_per_mil)
```

```{r}
world_cases_df %>% 
  filter(location %!in% c("World", "High income", "Europe", "European Union", "Asia", "Upper middle income", "Lower middle income", "Oceania", "North America", "South America")) %>% 
  arrange(-new_cases)
```

```{r}
cases <- covid %>% 
  filter(location %!in% c("World", "High income", "Europe", "European Union", "Asia", "Upper middle income", "Lower middle income", "Oceania", "North America", "South America", "Africa", "Low income")) %>% 
  select(date, location, new_cases_smoothed) %>%
  drop_na() %>% 
  glimpse() 
```

```{r}
spread_cases <- cases %>% 
  spread(location, new_cases_smoothed)
```

```{r}
cases_t <- t(spread_cases[-1])
cases_dist <- dist(cases_t, method = "euclidean")
fit <- hclust(cases_dist, method = "ward.D")
```

```{r}
library(ggdendro)
ggdendrogram(fit, rotate = TRUE, theme_dendro = FALSE) +
  theme_minimal() + xlab("") + ylab("")
```

```{r}
d <- cut(as.dendrogram(fit), h = 20000000)
d
```

```{r}
clustered_data <- cutree(fit, k = 5)
clustered_data_tidy <- as.data.frame(as.table(clustered_data)) %>% 
  glimpse()
colnames(clustered_data_tidy) <- c("location", "cluster")
clustered_data_tidy$location <- as.character(clustered_data_tidy$location)

joined_clusters <- cases %>% 
  inner_join(clustered_data_tidy, by = "location") %>% 
  glimpse()
```

```{r}
table(clustered_data_tidy$cluster)
```

```{r}
joined_clusters %>% 
  group_by(location) %>% 
  summarise(most_recent_date = date[max(which(!is.na(new_cases_smoothed)))],
            new_cases = new_cases_smoothed[max(which(!is.na(new_cases_smoothed)))],
            cluster = cluster[1]) %>% 
  merge(world_variants_df[, c("location", "prevalent_variant")], by = "location") %>% 
  arrange(-new_cases)
```

```{r}
ggplot(joined_clusters) +
  geom_area(aes(x = date, y = new_cases_smoothed,fill = factor(cluster)), alpha = 0.5, position = "dodge") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) + 
  labs(title = "New Cases By Cluster", x = "", y = "", fill = "Cluster") 
```

```{r}
cluster1 <- joined_clusters %>% 
  filter(cluster == "1")

p <- ggplot(cluster1, aes(date, new_cases_smoothed)) +
  geom_line(aes(color = location)) +
  theme_minimal() +
  geom_smooth(method = "auto", color = "red", se = F, size = 0.5) +
  theme(legend.position = "none") +
 # facet_wrap(~location, scale = 'free') 
  labs(title = "Cluster 1")

ggplotly(p)
```

```{r}
cluster2 <- joined_clusters %>% 
  filter(cluster == "2")

ggplot(cluster2, aes(date, new_cases_smoothed)) +
  geom_line(color = "grey") +
  theme_minimal() +
  geom_smooth(method = "auto", color = "red", se = F, size = 0.5) +
  facet_wrap(~location, scales = 'free') + 
  theme(axis.text.x = element_blank()) + 
  labs(title = "Cluster 2")
```

```{r}
cluster3 <- joined_clusters %>% 
  filter(cluster == "3")

ggplot(cluster3, aes(date, new_cases_smoothed)) +
  geom_line(color = "grey") +
  theme_minimal() +
  geom_smooth(method = "auto", color = "red", se = F, size = 0.5) +
  facet_wrap(~location, scales = 'free') + 
  theme(axis.text.x = element_blank(), axis.text.y = element_text(size = 5))+ 
  labs(title = "Cluster 3")
```

```{r}
cluster4 <- joined_clusters %>% 
  filter(cluster == "4")

ggplot(cluster4, aes(date, new_cases_smoothed)) +
  geom_line(color = "grey") +
  theme_minimal() +
  geom_smooth(method = "auto", color = "red", se = F, size = 0.5) +
  facet_wrap(~location, scale = 'free')+ 
  labs(title = "Cluster 4")
```

```{r}
cluster5 <- joined_clusters %>% 
  filter(cluster == "5")

ggplot(cluster5, aes(date, new_cases_smoothed)) +
  geom_line(color = "grey") +
  theme_minimal() +
  geom_smooth(method = "auto", color = "red", se = F, size = 0.5) +
  facet_wrap(~location, scale = 'free')+ 
  labs(title = "Cluster 5")
```

```{r}
#clustered_data_tidy %>% 
#  mutate(location = case_when(
#    location == "United States" ~ "United States"
#  ))

world_clusters_loc <- left_join(clustered_data_tidy, covid[, c("location", "iso_code")], by = "location", all.x = TRUE, all.y = FALSE) %>% 
  rename(gu_a3 = iso_code) %>% 
  unique()

world_clusters_map <- left_join(world, world_clusters_loc, by = "gu_a3", all.x = TRUE)
```

```{r}
p <- ggplot(data = world_clusters_map, aes(fill = factor(cluster), text = paste0("Country: ", name, "\nCluster: ", cluster))) + 
  geom_sf() + 
  xlab("") + 
  ylab("") +
  labs(fill = "Clusters") + 
  labs(title = "Countries Clustered by Cases Over Time") +
  theme(panel.grid.major = element_line(color = gray(.5), linetype = "dashed", size = 0.5), panel.background = element_rect(fill = "white"),                legend.position = "bottom", 
              legend.text= element_text(size = 5),
              legend.key.size = unit(1, "line")
              ) + 
  scale_fill_brewer(palette = "Accent")

p
```




```{r}
#export cases with clusters to csv for python analysis
write.csv(joined_clusters, "data\\cases_clustered.csv")
```

# ARIMA modeling

```{r}
#USA
clean <- joined_clusters %>% 
  filter(location == "United States") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "United States 30 Day Forecast of New Cases", x = "", y = "")

ggplot(data = us, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million / 40)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*40, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million")  +
  annotate(geom="label", x=ymd(20210501), y=50, label="Alpha") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220215), y=75, label="Omicron")
```

```{r}
#Austria
clean <- joined_clusters %>% 
  filter(location == "Austria") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "Austria 30 Day Forecast of New Cases", x = "", y = "")
```

```{r}
#India
clean <- joined_clusters %>% 
  filter(location == "India") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "India 30 Day Forecast of New Cases", x = "", y = "")
```

```{r}
#France
clean <- joined_clusters %>% 
  filter(location == "France") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "France 30 Day Forecast of New Cases", x = "", y = "")

ggplot(data = france, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million/ 60)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*60, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million")  +
  annotate(geom="label", x=ymd(20210501), y=50, label="Alpha") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220215), y=75, label="Omicron")
```

```{r}
#Germany
clean <- joined_clusters %>% 
  filter(location == "Germany") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "Germany 30 Day Forecast of New Cases", x = "", y = "")

ggplot(data = germany, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million/ 50)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*50, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million")  +
  annotate(geom="label", x=ymd(20210501), y=75, label="Alpha") +
  annotate(geom="label", x=ymd(20210901), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220215), y=75, label="Omicron")
```

```{r}
#Italy
clean <- joined_clusters %>% 
  filter(location == "Italy") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "Italy 30 Day Forecast of New Cases", x = "", y = "")
```

```{r}
#South Korea
clean <- joined_clusters %>% 
  filter(location == "South Korea") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "South Korea 30 Day Forecast of New Cases", x = "", y = "")

ggplot(data = skorea, aes(x = date)) + 
  geom_area(aes(y = perc_sequences, color = variant, fill = variant), show.legend =FALSE, alpha = 0.5, position = "dodge") + 
  geom_line(aes(y = new_cases_smoothed_per_million/ 80)) + 
  scale_y_continuous("Percent of Sequences", sec.axis=sec_axis(~.*80, name = "New Cases Per Million")) + 
  theme_minimal() + 
  labs(title = "Proportion of Covid Variants vs New Cases Per Million")  +
  #annotate(geom="label", x=ymd(20210501), y=75, label="Alpha") +
  annotate(geom="label", x=ymd(20211001), y=75, label="Delta") +
  annotate(geom="label", x=ymd(20220215), y=75, label="Omicron")
```

```{r}
#Vietnam
clean <- joined_clusters %>% 
  filter(location == "Vietnam") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "Vietnam 30 Day Forecast of New Cases", x = "", y = "")
```

```{r}
#China
clean <- joined_clusters %>% 
  filter(location == "China") %>% 
  select(date, new_cases_smoothed) %>% 
  mutate(date = ymd(date))

fit <- auto.arima(clean[,c("new_cases_smoothed")])
fit

forecastedValues <- forecast(fit, 30)

print(forecastedValues)

clean$date[length(clean$date)]

clean %>% 
  mutate(num = seq(1,length(clean$date)))

seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30)

forecast <- data.frame(date = seq(clean$date[length(clean$date)] + 1, by = "days", length.out = 30), 
           pred = forecastedValues$mean, 
           Lo95 = forecastedValues$lower[,2],
           Hi95 = forecastedValues$upper[,2])

#plot(forecastedValues)

clean %>%
  ggplot() +
  geom_line(aes(y = new_cases_smoothed, x = date), colour = "black") +
  geom_ribbon(data = forecast, aes(x = date, ymin = Lo95, ymax = Hi95), fill = "gray", alpha = 0.5) +
  geom_line(data = forecast, aes(x = date, y = pred), linetype = 2, colour = "red") + 
  theme_minimal() + 
  scale_y_continuous(labels = comma) +
  labs(title = "China 30 Day Forecast of New Cases", x = "", y = "")
```
